研究论文

Improved deep learning-based detection of drainage pipeline defects using an enhanced YOLOv8 framework

Junling Wang, Ao Sun, Chenchen Wang, Xianguo Zhang, Jinyu Huang

Beijing University of Civil Engineering and Architecture　Beijing Municipal Ecology and Environment Bureau

来源Journal of Water Process Engineering

年份2025

DOI10.1016/j.jwpe.2025.108605

原文https://doi.org/10.1016/j.jwpe.2025.108605

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逐年被引趋势

840

826

关键指标

被引次数 · OpenAlex

3.92

领域内被引倍数
同类平均 = 1

前 6%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

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依据：文献信息

论文问答

当前基于文献信息回答

可就本文提问；依据不足时会说明。

学术脉络

学科主题

工程

Infrastructure Maintenance and Monitoring

Non-Destructive Testing Techniques · Water Systems and Optimization

参考文献 29

Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines

Alaa H. Hawari, Mazen Alamin, Firas Alkadour · Automation in Construction · 2018

被引 129

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

Jack C.P. Cheng, Mingzhu Wang · Automation in Construction · 2018

被引 367

Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification

Duanshun Li, Anran Cong, Shuai Guo · Automation in Construction · 2019

被引 176

此处列出前 3 条

引用本文 8

Automatic detection of multiple defects in deteriorated concrete sewer pipelines: A method based on StyleGAN and MCFN-YOLO

Jianan Zhang, Jing Yang, Xirong Niu · Journal of Water Process Engineering · 2026

被引 1

Underwater waste detection via quadruple neutrosophic image enhancement for marine environmental monitoring

M. (Mounicka) Kumar, N. Ramesh Babu · Marine Pollution Bulletin · 2026

被引 1

SDA-YOLO: A scale and defect adaptive YOLO network for robust drainage pipeline defect detection from CCTV imagery

Guangyi Rong, Jianbo Shen, Hailong Zhang · Journal of Water Process Engineering · 2026

被引 0

按被引量排序，此处列出前 3 条

研究论文

Improved deep learning-based detection of drainage pipeline defects using an enhanced YOLOv8 framework

Junling Wang, Ao Sun, Chenchen Wang, Xianguo Zhang, Jinyu Huang

Beijing University of Civil Engineering and Architecture　Beijing Municipal Ecology and Environment Bureau

来源Journal of Water Process Engineering

年份2025

DOI10.1016/j.jwpe.2025.108605

原文https://doi.org/10.1016/j.jwpe.2025.108605

阅读操作

确认中

在文库中上传 PDF 后可生成中文音频讲解。

摘要与影响

摘要 · 节选

暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。

逐年被引趋势

840

826

关键指标

被引次数 · OpenAlex

3.92

领域内被引倍数
同类平均 = 1

前 6%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

AI 辅助阅读

依据：文献信息

论文问答

当前基于文献信息回答

可就本文提问；依据不足时会说明。

学术脉络

学科主题

工程

Infrastructure Maintenance and Monitoring

Non-Destructive Testing Techniques · Water Systems and Optimization

参考文献 29

Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines

Alaa H. Hawari, Mazen Alamin, Firas Alkadour · Automation in Construction · 2018

被引 129

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

Jack C.P. Cheng, Mingzhu Wang · Automation in Construction · 2018

被引 367

Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification

Duanshun Li, Anran Cong, Shuai Guo · Automation in Construction · 2019

被引 176

此处列出前 3 条

引用本文 8

Automatic detection of multiple defects in deteriorated concrete sewer pipelines: A method based on StyleGAN and MCFN-YOLO

Jianan Zhang, Jing Yang, Xirong Niu · Journal of Water Process Engineering · 2026

被引 1

Underwater waste detection via quadruple neutrosophic image enhancement for marine environmental monitoring

M. (Mounicka) Kumar, N. Ramesh Babu · Marine Pollution Bulletin · 2026

被引 1

SDA-YOLO: A scale and defect adaptive YOLO network for robust drainage pipeline defect detection from CCTV imagery

Guangyi Rong, Jianbo Shen, Hailong Zhang · Journal of Water Process Engineering · 2026

被引 0

按被引量排序，此处列出前 3 条